YellowPancake / TCILLinks
Official Pytorch implementations of TCIL, accepted at AAAI 2023
☆19Updated 3 years ago
Alternatives and similar repositories for TCIL
Users that are interested in TCIL are comparing it to the libraries listed below
Sorting:
- Class-Incremental Learning: A Survey (TPAMI 2024)☆278Updated last year
- The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch☆46Updated 2 years ago
- Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)☆138Updated 2 years ago
- PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"☆119Updated 2 years ago
- The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.☆58Updated 3 years ago
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆106Updated last year
- The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023)☆38Updated 2 years ago
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆93Updated 2 years ago
- The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch☆69Updated 2 years ago
- OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning☆32Updated 3 months ago
- The official PyTorch code for 'DER: Dynamically Expandable Representation for Class Incremental Learning' accepted by CVPR2021☆169Updated 4 years ago
- Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022☆147Updated 3 years ago
- Awesome Few-Shot Class-Incremental Learning☆248Updated 2 years ago
- [CVPR 2023] Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning☆74Updated last year
- ICLR2024 paper on Continual Learning☆37Updated last year
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆153Updated last year
- PyTorch Implementation of the CVPR'22 Paper "Constrained Few-shot Class-incremental Learning"☆59Updated 3 years ago
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.☆80Updated 10 months ago
- Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World☆201Updated 2 years ago
- Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)☆126Updated 3 years ago
- Online Prototype Learning for Online Continual Learning (ICCV 2023)☆43Updated 2 years ago
- ☆14Updated 2 years ago
- ☆60Updated 3 years ago
- Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"☆166Updated 4 years ago
- ☆33Updated 2 years ago
- Code for CVPR2022 paper "Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency"☆27Updated 3 years ago
- a PyTorch Tutorial to Class-Incremental Learning | a Distributed Training Template of CIL with core code less than 100 lines.☆107Updated 5 months ago
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆57Updated 11 months ago
- Code Implementation for CVPR 2023 Paper: Class-Incremental Exemplar Compression for Class-Incremental Learning☆26Updated 2 years ago
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆203Updated 2 years ago